In this paper , a new theory called the theory of error contrast is put forward to solve the question of intercross confusion in identification and classification of neural network. The result of analysis shows this method is accurate and reliable through the example of identification of TBM and bait based on BP network. This method can solve the fuzzy question in classification of neural network.